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Table of Contents
Intro; Preface; Organization; Keynote Talks; Recurrent Patterns of Brain Activity Associated with Cognitive Tasks and Attractor Dynamics (John Taylor Memorial Lecture); Unsupervised Learning: Passive and Active; Machine Learning and AI for the Sciences-Towards Understanding; Large-Scale Lineage and Latent-Space Learning in Single-Cell Genomic; The Gentle Robot; Contents
Part I; Associative Memory; Bidirectional Associative Memory with Block Coding: A Comparison of Iterative Retrieval Methods; 1 Introduction; 2 Modeling; 2.1 Learning; 2.2 Retrieval Task and Algorithms
2.3 Evaluation Measures2.4 Data and Experimental Set up; 3 Results; 4 Conclusions; References; Stability Analysis of a Generalized Class of BAM Neural Networks with Mixed Delays; 1 Introduction; 2 Existence and Exponential Stability of Equilibria; 3 Numerical Example; 4 Conclusion; References; Dissipativity Analysis of a Class of Competitive Neural Networks with Proportional Delays; 1 Introduction; 2 Assumptions, Definitions and Notations; 3 Main Results; 4 Numerical Example; 5 Conclusions; References; A Nonlinear Fokker-Planck Description of Continuous Neural Network Dynamics; 1 Introduction
2 Nonextensive Thermostatistics3 Dynamics of Continuous Neural Networks; 4 Fokker-Planck Equations for Continuous Valued Neural Networks; 4.1 The NLFPE and q-Statistics in Memory Neural Networks; 5 H-Theorem; 6 Conclusions; References; Multi-modal Associative Storage and Retrieval Using Hopfield Auto-associative Memory Network; 1 Introduction; 1.1 Related Work
Cross-Modal Retrieval; 1.2 Related Work
Associative Memory Approaches; 1.3 Associative Memory Framework
Biological Realism; 1.4 Proposed Work and Contributions; 1.5 Experimental Scenarios
2 Hopfield Network and Multi-modal Pattern Retrieval3 Basics of Hopfield Network; 3.1 Storage Phase (or Learning or Memorizing); 3.2 Retrieval Phase; 4 Hopfield Network for Captioned-Image Retrieval; 5 Captioned-Image Storage and Retrieval; 6 Conclusions; References; Chaotic Complex-Valued Associative Memory with Adaptive Scaling Factor Independent of Multi-values; 1 Introduction; 2 Chaotic Complex-Valued Associative Memory with Adaptive Scaling Factor; 2.1 Expression of Multi-valued Patterns; 2.2 Structure; 2.3 Learning Process; 2.4 Recall Process; 3 Computer Experiment Results
3.1 Comparison of Dynamic Association Ability Between Proposed Model and Conventional Model Tuned Manually3.2 Dynamic Association Ability of Proposed Model Composed of More Neurons; 3.3 Dynamic Association Ability for S-valued Patterns Which Are Not Used for Automatic Adjustment Method Decision; 4 Conclusions; References; Brain Activity Analysis and Inspired Computing; A Comparative Analysis of Preprocessing Methods for Single-Trial Event Related Potential Detection; Abstract; 1 Introduction; 2 Methodology; 2.1 ERP Experimental Setup; 2.2 Guess the Number Experiment; 2.3 Data Acquisition
Part I; Associative Memory; Bidirectional Associative Memory with Block Coding: A Comparison of Iterative Retrieval Methods; 1 Introduction; 2 Modeling; 2.1 Learning; 2.2 Retrieval Task and Algorithms
2.3 Evaluation Measures2.4 Data and Experimental Set up; 3 Results; 4 Conclusions; References; Stability Analysis of a Generalized Class of BAM Neural Networks with Mixed Delays; 1 Introduction; 2 Existence and Exponential Stability of Equilibria; 3 Numerical Example; 4 Conclusion; References; Dissipativity Analysis of a Class of Competitive Neural Networks with Proportional Delays; 1 Introduction; 2 Assumptions, Definitions and Notations; 3 Main Results; 4 Numerical Example; 5 Conclusions; References; A Nonlinear Fokker-Planck Description of Continuous Neural Network Dynamics; 1 Introduction
2 Nonextensive Thermostatistics3 Dynamics of Continuous Neural Networks; 4 Fokker-Planck Equations for Continuous Valued Neural Networks; 4.1 The NLFPE and q-Statistics in Memory Neural Networks; 5 H-Theorem; 6 Conclusions; References; Multi-modal Associative Storage and Retrieval Using Hopfield Auto-associative Memory Network; 1 Introduction; 1.1 Related Work
Cross-Modal Retrieval; 1.2 Related Work
Associative Memory Approaches; 1.3 Associative Memory Framework
Biological Realism; 1.4 Proposed Work and Contributions; 1.5 Experimental Scenarios
2 Hopfield Network and Multi-modal Pattern Retrieval3 Basics of Hopfield Network; 3.1 Storage Phase (or Learning or Memorizing); 3.2 Retrieval Phase; 4 Hopfield Network for Captioned-Image Retrieval; 5 Captioned-Image Storage and Retrieval; 6 Conclusions; References; Chaotic Complex-Valued Associative Memory with Adaptive Scaling Factor Independent of Multi-values; 1 Introduction; 2 Chaotic Complex-Valued Associative Memory with Adaptive Scaling Factor; 2.1 Expression of Multi-valued Patterns; 2.2 Structure; 2.3 Learning Process; 2.4 Recall Process; 3 Computer Experiment Results
3.1 Comparison of Dynamic Association Ability Between Proposed Model and Conventional Model Tuned Manually3.2 Dynamic Association Ability of Proposed Model Composed of More Neurons; 3.3 Dynamic Association Ability for S-valued Patterns Which Are Not Used for Automatic Adjustment Method Decision; 4 Conclusions; References; Brain Activity Analysis and Inspired Computing; A Comparative Analysis of Preprocessing Methods for Single-Trial Event Related Potential Detection; Abstract; 1 Introduction; 2 Methodology; 2.1 ERP Experimental Setup; 2.2 Guess the Number Experiment; 2.3 Data Acquisition